Join a small, fast-moving team where you’ll explore, invent, and discover.
We’re training foundational models for financial applications on unique, multimodal datasets.

What you’ll do

• Formulate and pursue original research agendas (reasoning, tool connectivity, robustness, alignment, data/compute efficiency).
  -Follow Ideas to PoC to MVP to training to validation, owning all steps of the process with deep collaboration with Research Engineers (see other open role).
  -Build rigorous evaluation suites through simulated environments and real time evaluation.
  -Prototype fast with real data; partner with Research Engineers to take promising ideas to production.

You might be a fit if you

• Are a self-starter who thrives on coding autonomy and project collaboration within small-team, high velocity environments.
  -Have strong ML research chops (theory and practice), and write clean, reproducible code (e.g. PyTorch/JAX).
  -Think in systems: data quality, scaling laws, evaluation, and deployment constraints - not just model internals.
  -Prefer clear principles, low ego and prefer collaboration over titles and politics. Helpful backgrounds (any of the following)
• Frontier labs experience (e.g., Anthropic, OpenAI, DeepMind); or
• Novel discovery through published work (NeurIPS/ICML/ICLR); or
• Led research in an applied setting (startups, open-source, or products at scale); or
• Standout independent achievement (notable OSS, benchmarks, or widely used methods).

Research areas we’re excited about

• Efficient training (HRM, distillation, sparse/MoE, FSDP, etc.).
  -Reasoning and tool use (automated trading and agentic interaction with data sources).
  -Multimodal Inputs and Outputs (multiple forms of text and time-series both in and out).

What we offer

• A well-funded trading firm expanding into AI research - your ideas set direction and standards.
  -Real ownership from hypothesis to deployment.
  -Competitive base with meaningful upside tied to research impact.
  -A culture optimized for deep work, fast learning, and doing the right thing.

If this sounds like you, apply.

Originally posted on Himalayas